Determinants of the accuracy of using carbon isotopes in estimating water use efficiency of selected cereal and legume crops: A global perspective

IF 4 2区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Maltase Mutanda, Vincent Chaplot, Hussein Shimelis, Kwame W. Shamuyarira, Sandiswa Figlan
{"title":"Determinants of the accuracy of using carbon isotopes in estimating water use efficiency of selected cereal and legume crops: A global perspective","authors":"Maltase Mutanda,&nbsp;Vincent Chaplot,&nbsp;Hussein Shimelis,&nbsp;Kwame W. Shamuyarira,&nbsp;Sandiswa Figlan","doi":"10.1002/fes3.522","DOIUrl":null,"url":null,"abstract":"<p>Field assessments of crop water use efficiency (WUE) are resource-consuming since they require simultaneous assessment of the total amount of water assimilated by crops for biomass and/or grain production. Alternative methods exist, such as estimating the carbon isotopic ratio (<sup>13</sup>C/<sup>12</sup>C) of the crop's leaf, aboveground biomass, or grain samples. There is limited information on the determinants of the accuracy of carbon isotopes in estimating water use efficiency between crop types and environments. Therefore, this study aimed to evaluate the extent to which the estimation of the <sup>13</sup>C/<sup>12</sup>C ratio in crop parts constitutes an accurate proxy of WUE, globally. Data on observed WUE (WUE<sub>obs</sub>) were collated involving 518 experiments conducted worldwide on major cereals and legumes and compared with WUE estimates (WUE<sub>est</sub>) from carbon isotopes. The mean WUE<sub>obs</sub> among all experiments was 3.4 g L<sup>−1</sup> and the mean absolute error (MAE) was 0.5 g L<sup>−1</sup> or 14.7% of WUE<sub>obs</sub>, corresponding to accurate predictions at <i>p</i> &lt; 0.05. However, the percentage mean absolute error of observed water use efficiency (%MAE) estimated from grains was 3.6 ± 11.5%, which was lower than the %MAE from aboveground biomass collected at harvest (3 ± 22.8%). In addition, the %MAE increased from 1.1 ± 5.1% for soybean, 1.6 ± 7.2% for maize, 1.2 ± 8.6% for rice, 1.8 ± 12.1% for groundnut, 2.1 ± 14.3% for cowpea, 2.3 ± 16.2% for bush bean, 1.8 ± 19.9% for wheat, 2.2 ± 21.4% for barley to 6.3 ± 39.3% for oat, with only the latter corresponding to significant errors. WUE<sub>est</sub> were, in all cases, unbiased but slightly overestimated from 0.8% (maize) to 15.4% (oat). The accuracy in estimating WUE significantly decreased with the increase in soil clay content, with sand, showing a positive correlation of 0.3 with %MAE, but negatively correlated with the silt content (<i>r</i> = −0.4). Furthermore, a multivariate analysis pointed out a tendency for prediction errors and bias to increase with the decrease in WUE<sub>obs</sub> and air temperature. Using carbon isotopes for estimating crop WUE thus appeared reliable for all crops and world environments, provided grain samples are considered. The technique tended to perform better under high WUE conditions, such as those generally found in maize and soybean cropping systems. The identified factors that affect the accuracy of using carbon isotopes in measuring WUE provide valuable insights for water resource management and sustainable crop production. These findings contribute to the ongoing discourse on water conservation strategies in agriculture, offering a basis for decision-making in crop improvement programs. Implementing the recommended practices from this study can potentially improve yield gains and promote resilient and sustainable agricultural systems in the changing environmental circumstances. Further research should investigate the mechanisms that cause low accuracy of the isotopic technique using aboveground biomass and under arid and cool environments.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"13 1","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.522","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food and Energy Security","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/fes3.522","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Field assessments of crop water use efficiency (WUE) are resource-consuming since they require simultaneous assessment of the total amount of water assimilated by crops for biomass and/or grain production. Alternative methods exist, such as estimating the carbon isotopic ratio (13C/12C) of the crop's leaf, aboveground biomass, or grain samples. There is limited information on the determinants of the accuracy of carbon isotopes in estimating water use efficiency between crop types and environments. Therefore, this study aimed to evaluate the extent to which the estimation of the 13C/12C ratio in crop parts constitutes an accurate proxy of WUE, globally. Data on observed WUE (WUEobs) were collated involving 518 experiments conducted worldwide on major cereals and legumes and compared with WUE estimates (WUEest) from carbon isotopes. The mean WUEobs among all experiments was 3.4 g L−1 and the mean absolute error (MAE) was 0.5 g L−1 or 14.7% of WUEobs, corresponding to accurate predictions at p < 0.05. However, the percentage mean absolute error of observed water use efficiency (%MAE) estimated from grains was 3.6 ± 11.5%, which was lower than the %MAE from aboveground biomass collected at harvest (3 ± 22.8%). In addition, the %MAE increased from 1.1 ± 5.1% for soybean, 1.6 ± 7.2% for maize, 1.2 ± 8.6% for rice, 1.8 ± 12.1% for groundnut, 2.1 ± 14.3% for cowpea, 2.3 ± 16.2% for bush bean, 1.8 ± 19.9% for wheat, 2.2 ± 21.4% for barley to 6.3 ± 39.3% for oat, with only the latter corresponding to significant errors. WUEest were, in all cases, unbiased but slightly overestimated from 0.8% (maize) to 15.4% (oat). The accuracy in estimating WUE significantly decreased with the increase in soil clay content, with sand, showing a positive correlation of 0.3 with %MAE, but negatively correlated with the silt content (r = −0.4). Furthermore, a multivariate analysis pointed out a tendency for prediction errors and bias to increase with the decrease in WUEobs and air temperature. Using carbon isotopes for estimating crop WUE thus appeared reliable for all crops and world environments, provided grain samples are considered. The technique tended to perform better under high WUE conditions, such as those generally found in maize and soybean cropping systems. The identified factors that affect the accuracy of using carbon isotopes in measuring WUE provide valuable insights for water resource management and sustainable crop production. These findings contribute to the ongoing discourse on water conservation strategies in agriculture, offering a basis for decision-making in crop improvement programs. Implementing the recommended practices from this study can potentially improve yield gains and promote resilient and sustainable agricultural systems in the changing environmental circumstances. Further research should investigate the mechanisms that cause low accuracy of the isotopic technique using aboveground biomass and under arid and cool environments.

Abstract Image

利用碳同位素估算某些谷物和豆类作物水分利用效率的准确性的决定因素:全球视角
作物水分利用效率(WUE)的实地评估需要同时评估作物为生产生物量和/或谷物而吸收的水分总量,因此非常耗费资源。目前有一些替代方法,如估算作物叶片、地上生物量或谷物样本的碳同位素比值(13C/12C)。关于碳同位素在估算不同作物类型和环境的水分利用效率方面的准确性的决定因素,目前的信息还很有限。因此,本研究旨在评估在全球范围内,作物各部分 13C/12C 比率的估算在多大程度上可以准确替代水分利用效率。本研究整理了全球 518 个主要谷物和豆科植物试验中观察到的水分利用效率(WUEobs)数据,并与碳同位素得出的水分利用效率估计值(WUEest)进行了比较。所有实验的平均 WUEobs 为 3.4 g L-1,平均绝对误差(MAE)为 0.5 g L-1 或 WUEobs 的 14.7%,相当于在 p < 0.05 时的准确预测。然而,从谷粒估算的观测水分利用效率的平均绝对误差(%MAE)为 3.6 ± 11.5%,低于收获时采集的地上生物量的平均绝对误差(%MAE)(3 ± 22.8%)。此外,MAE%从大豆(1.1 ± 5.1%)、玉米(1.6 ± 7.2%)、水稻(1.2 ± 8.6%)、落花生(1.8 ± 12.1%)、豇豆(2.1 ± 14.3%)、灌木豆(2.3 ± 16.2%)、小麦(1.8 ± 19.9%)、大麦(2.2 ± 21.4%)到燕麦(6.3 ± 39.3%),只有后者存在显著误差。在所有情况下,WUEest 都没有偏差,但略微高估了 0.8%(玉米)至 15.4%(燕麦)。随着土壤粘土含量的增加,估算 WUE 的准确性明显降低,沙土与 %MAE 呈 0.3 的正相关,但与淤泥含量呈负相关(r = -0.4)。此外,多变量分析表明,随着 WUEobs 和气温的降低,预测误差和偏差有增加的趋势。因此,只要考虑到谷物样本,使用碳同位素估算作物WUE似乎对所有作物和世界环境都是可靠的。在高 WUE 条件下,如玉米和大豆种植系统中的高 WUE 条件下,该技术往往表现更佳。所发现的影响使用碳同位素测量WUE准确性的因素为水资源管理和可持续作物生产提供了宝贵的见解。这些发现有助于当前有关农业节水战略的讨论,为作物改良计划的决策提供依据。在不断变化的环境条件下,实施本研究推荐的做法有可能提高产量,促进农业系统的恢复能力和可持续发展。进一步的研究应探讨在干旱和凉爽环境下使用地上生物量同位素技术准确性低的机理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Food and Energy Security
Food and Energy Security Energy-Renewable Energy, Sustainability and the Environment
CiteScore
9.30
自引率
4.00%
发文量
76
审稿时长
19 weeks
期刊介绍: Food and Energy Security seeks to publish high quality and high impact original research on agricultural crop and forest productivity to improve food and energy security. It actively seeks submissions from emerging countries with expanding agricultural research communities. Papers from China, other parts of Asia, India and South America are particularly welcome. The Editorial Board, headed by Editor-in-Chief Professor Martin Parry, is determined to make FES the leading publication in its sector and will be aiming for a top-ranking impact factor. Primary research articles should report hypothesis driven investigations that provide new insights into mechanisms and processes that determine productivity and properties for exploitation. Review articles are welcome but they must be critical in approach and provide particularly novel and far reaching insights. Food and Energy Security offers authors a forum for the discussion of the most important advances in this field and promotes an integrative approach of scientific disciplines. Papers must contribute substantially to the advancement of knowledge. Examples of areas covered in Food and Energy Security include: • Agronomy • Biotechnological Approaches • Breeding & Genetics • Climate Change • Quality and Composition • Food Crops and Bioenergy Feedstocks • Developmental, Physiology and Biochemistry • Functional Genomics • Molecular Biology • Pest and Disease Management • Post Harvest Biology • Soil Science • Systems Biology
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信